Research Data
收藏DataCite Commons2025-04-27 更新2025-04-16 收录
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Sentinel-1 Single Look Complex (SLC) images with VV polarization and IW beam mode, providing 12-day C-band intervals, were analyzed across two distinct periods to detect and monitor landslides. The analysis focused on specific dates for the Toudaoqiazi, Zhangjiahong, Wanshuitian, and Tanjiahe landslides. Ancillary data, including rainfall intensity, reservoir water level, GNSS displacement monitoring, and topographic data, were collected to support landslide displacement prediction. Real-time data were sourced from monitoring stations and government resources in Zigui County. Topographic phase errors were minimized using the Shuttle Radar Topographic Mission (SRTM) Digital Elevation Model (DEM), contour maps, and UAV mapping to accurately calculate SBAS-InSAR values.This data is in .xlsx format and has been processed as described above, intended for research and mapping purposes.
本研究所用数据为搭载VV极化与IW波束模式的哨兵-1号(Sentinel-1)单视复数(Single Look Complex,SLC)影像,该类C波段影像的重访周期为12天。研究选取两个独立时段,通过分析该类影像以探测并监测滑坡,分析工作聚焦头道桥子(Toudaoqiazi)、张家洪(Zhangjiahong)、万水田(Wanshuitian)及谭家河(Tanjiahe)四处滑坡的特定观测日期展开。
为支撑滑坡位移预测研究,本研究同步收集了降雨强度、水库水位、全球导航卫星系统(GNSS,Global Navigation Satellite System)位移监测数据及地形数据等辅助资料。实时监测数据取自秭归县境内的监测站点与政府公开资源。
为精准计算小基线集干涉合成孔径雷达(SBAS-InSAR,Small Baseline Subset - Interferometric Synthetic Aperture Radar)反演值,研究借助航天飞机雷达地形测绘任务(SRTM,Shuttle Radar Topographic Mission)数字高程模型(DEM,Digital Elevation Model)、等高线图及无人机(UAV,Unmanned Aerial Vehicle)测绘数据以削弱地形相位误差。
本数据集采用.xlsx格式存储,已按上述流程完成预处理,仅可用于科研与制图相关研究工作。
提供机构:
Science Data Bank
创建时间:
2025-02-26



